Editors' Introduction
SECTION I - INTRODUCTION
Chapter 1 - Exploring Cheating on Tests: The Context, the Concern, and the Challenges
Gregory J. Cizek and James A. Wollack
SECTION II - METHODOLOGIES FOR IDENTIFYING CHEATING ON TESTS
Section IIa - Detecting Similarity, Answer Copying, and Aberrance
Chapter 2 - Similarity, Answer Copying, and Aberrance: Understanding the Status Quo
Cengiz Zopluoglu
Chapter 3 - Detecting Potential Collusion Among Individual Examinees Using Similarity Analysis
Dennis D. Maynes
Chapter 4 - Identifying and Investigating Aberrant Responses Using Psychometrics-Based and Machine Learning-Based Approaches
Doyoung Kim, Ada Woo, and Phil Dickison
Section IIb - Detecting Preknowledge and Item Compromise
Chapter 5 - Detecting Preknowledge and Item Compromise: Understanding the Status Quo
Carol A. Eckerly
Chapter 6 - Detection of Test Collusion Using Cluster Analysis
James A. Wollack and Dennis D. Maynes
Chapter 7 - Detecting Candidate Preknowledge and Compromised Content Using Differential Person and Item Functioning
Lisa S. O'Leary and Russell W. Smith
Chapter 8 - Identification of Item Preknowledge by the Methods of Information Theory and Combinatorial Optimization
Dmitry Belov
Chapter 9 - Using Response Time Data to Detect Compromised Items and/or People
Keith A. Boughton, Jessalyn Smith, and Hao Ren
Section IIc - Detecting Unusual Gain Scores and Test Tampering
Chapter 10 - Detecting Erasures and Unusual Gain Scores: Understanding the Status Quo
Scott Bishop and Karla Egan
Chapter 11 - Detecting Test Tampering at the Group Level
James A. Wollack and Carol A. Eckerly
Chapter 12 - A Bayesian Hierarchical Model for Detecting Aberrant Growth at the Group Level
William P. Skorupski, Joe Fitzpatrick, and Karla Egan
Chapter 13 - Using Nonlinear Regression to Identify Unusual Performance Level Classification Rates
J. Michael Clark, William P. Skorupski, and Stephen Murphy
Chapter 14 - Detecting Unexpected Changes in Pass Rates: A Comparison of Two Statistical Approaches
Matthew Gaertner and Yuanyuan (Malena) McBride
SECTION III - THEORY, PRACTICE, AND THE FUTURE OF QUANTITATIVE DETECTION METHODS
Chapter 15 - Security Vulnerabilities Facing Next Generation Accountability Testing
Joseph A. Martineau, Daniel Jurich, Jeffrey B. Hauger, and Kristen Huff
Chapter 16 - Establishing Baseline Data for Incidents of Misconduct in the NextGen Assessment Environment
Deborah J. Harris and Chi-Yu Huang
Chapter 17 - Visual Displays of Test Fraud Data
Brett P. Foley
Chapter 18 - The Case for Bayesian Methods When Investigating Test Fraud
William P. Skorupski and Howard Wainer
Chapter 19 - When Numbers Are Not Enough: Collection and Use of Collateral Evidence to Assess the Ethics and Professionalism of Examinees Suspected of Test Fraud
Marc J. Weinstein
SECTION IV - CONCLUSIONS
Chapter 20 - What Have We Learned?
Lorin Mueller, Yu Zhang, and Steve Ferrara
Chapter 21 - The Future of Quantitative Methods for Detecting Cheating: Conclusions, Cautions, and Recommendations
James A. Wollack and Gregory J. Cizek
